ROCm/rocprofiler-systems
Dec 2024 – Jul 2025
8 Months active
Languages Used
CC++CMakeShellPythonMarkdownmdrst
Technical Skills
GPU ComputingPerfettoPerformance MonitoringROCmSystem ProgrammingCI/CD
Sajina PK
PROFILE
Sajina Pk
Sajina Puthalath Kandy contributed to the ROCm/rocprofiler-systems repository by developing and refining GPU performance tracing and profiling features, with a focus on video decoding and JPEG activity monitoring. She implemented end-to-end tracing using C++ and CMake, integrated VA-API and MPI support, and enhanced CI workflows to ensure robust test coverage. Her work included debugging and stabilizing build systems, improving documentation for onboarding, and introducing hardware-aware testing to reduce false negatives. By addressing integration issues and optimizing performance metrics collection, Sajina enabled more accurate diagnostics and streamlined profiling for GPU-accelerated workloads, demonstrating depth in low-level system programming and performance analysis.
Overall Statistics
Feature vs Bugs
59%Features
Repository Contributions
21Total
Bugs
7
Commits
21
Features
10
Lines of code
15,064
Activity Months8
Your Network
1463 peopleSame Organization
@amd.com1441
7b30f3f5e26d48061f873d04cc7e1d1f_amdengMember
GunaShekar, AjayMember
aasbodduMember
Abdul Lateef AttarMember
Acim MaravicMember
Adam DickinMember
Pryor, AdamMember
Pryor, AdamMember
Adel JoharMember
Work History
July 2025
5 Commits • 3 Features
Jul 1, 2025July 2025 for ROCm/rocprofiler-systems focused on delivering targeted features, stabilizing runtime, and strengthening build/integration workflows to drive faster debugging, stronger MPI support, and more reliable production behavior. Highlights include conditional backtrace diagnostics, explicit library discovery for ROC samples, MPI symbol auto-detection in instrumentation, and stability improvements in shutdown handling.
5 Commits • 3 Features
Jul 1, 2025July 2025 for ROCm/rocprofiler-systems focused on delivering targeted features, stabilizing runtime, and strengthening build/integration workflows to drive faster debugging, stronger MPI support, and more reliable production behavior. Highlights include conditional backtrace diagnostics, explicit library discovery for ROC samples, MPI symbol auto-detection in instrumentation, and stability improvements in shutdown handling.
July 2025
June 2025
3 Commits • 2 Features
Jun 1, 2025Concise monthly performance summary for ROCm/rocprofiler-systems (June 2025). The focus was on delivering practical improvements to profiling capabilities for GPU workloads, expanding Fortran MPI tracing, and improving the accuracy of activity metrics when AMD SMI busy metrics are available. These changes enhance observability, enable faster optimization cycles for users, and improve the reliability of performance data collected in production environments.
June 2025
3 Commits • 2 Features
Jun 1, 2025Concise monthly performance summary for ROCm/rocprofiler-systems (June 2025). The focus was on delivering practical improvements to profiling capabilities for GPU workloads, expanding Fortran MPI tracing, and improving the accuracy of activity metrics when AMD SMI busy metrics are available. These changes enhance observability, enable faster optimization cycles for users, and improve the reliability of performance data collected in production environments.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025 — Key deliverables and outcomes for ROCm/rocprofiler-systems: - VA-API integration in rocJPEG: extended gotcha wrappers to support image creation, destruction, retrieval, and buffer mapping/unmapping, enabling robust VA-API workflows within rocJPEG (commit 90ad2644476058d7886a9bcb503395c962443ade). - Perfetto VCN/JPEG activity tracking fix: corrected overlap between VCN and JPEG activity values in Perfetto output by modifying storage for accurate reporting (commit 99a411fe526218db8face5f76867080cbc61b60f). Impact and accomplishments: - Improved performance diagnostics accuracy and trace reliability, reducing debugging time and increasing confidence in profiling results. - Expanded ROCm ROCprofiler capabilities with VA-API support in rocJPEG, enabling broader use cases and smoother integration with VA-API–driven workflows. Technologies/skills demonstrated: - Performance tracing with Perfetto, VA-API integration, gotcha wrappers, ROCm/rocprofiler-systems development, C/C++, version control discipline.
2 Commits • 1 Features
May 1, 2025May 2025 — Key deliverables and outcomes for ROCm/rocprofiler-systems: - VA-API integration in rocJPEG: extended gotcha wrappers to support image creation, destruction, retrieval, and buffer mapping/unmapping, enabling robust VA-API workflows within rocJPEG (commit 90ad2644476058d7886a9bcb503395c962443ade). - Perfetto VCN/JPEG activity tracking fix: corrected overlap between VCN and JPEG activity values in Perfetto output by modifying storage for accurate reporting (commit 99a411fe526218db8face5f76867080cbc61b60f). Impact and accomplishments: - Improved performance diagnostics accuracy and trace reliability, reducing debugging time and increasing confidence in profiling results. - Expanded ROCm ROCprofiler capabilities with VA-API support in rocJPEG, enabling broader use cases and smoother integration with VA-API–driven workflows. Technologies/skills demonstrated: - Performance tracing with Perfetto, VA-API integration, gotcha wrappers, ROCm/rocprofiler-systems development, C/C++, version control discipline.
May 2025
April 2025
3 Commits
Apr 1, 2025April 2025 monthly summary for ROCm/rocprofiler-systems focused on stabilizing and improving JPEG/RocJPEG workflows within the ROCm profiling suite. The team delivered critical fixes, tightened build configurations, and clarified documentation to support cross-ASIC compatibility and faster onboarding for performance analysis tasks.
April 2025
3 Commits
Apr 1, 2025April 2025 monthly summary for ROCm/rocprofiler-systems focused on stabilizing and improving JPEG/RocJPEG workflows within the ROCm profiling suite. The team delivered critical fixes, tightened build configurations, and clarified documentation to support cross-ASIC compatibility and faster onboarding for performance analysis tasks.
March 2025
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly performance summary for ROCm/rocprofiler-systems focusing on documentation, contributor onboarding, and test reliability. Key deliveries include: 1) Documentation updates for tracing capabilities (VCN and JPEG engine activity) and API tracing for rocDecode/rocJPEG, with enhanced README content and clarified GPU metrics/config options. 2) Added CONTRIBUTING.md to standardize contributions and improve project quality. 3) Hardware-aware testing improvements: conditional JPEG/VCN activity tests based on GPU detection and a refactored CMake layout to better organize tests. 4) Engineering impact: reduced CI noise and false negatives by preventing test runs on unsupported hardware, improving stability of the profiling feature set.
3 Commits • 1 Features
Mar 1, 2025March 2025 monthly performance summary for ROCm/rocprofiler-systems focusing on documentation, contributor onboarding, and test reliability. Key deliveries include: 1) Documentation updates for tracing capabilities (VCN and JPEG engine activity) and API tracing for rocDecode/rocJPEG, with enhanced README content and clarified GPU metrics/config options. 2) Added CONTRIBUTING.md to standardize contributions and improve project quality. 3) Hardware-aware testing improvements: conditional JPEG/VCN activity tests based on GPU detection and a refactored CMake layout to better organize tests. 4) Engineering impact: reduced CI noise and false negatives by preventing test runs on unsupported hardware, improving stability of the profiling feature set.
March 2025
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ROCm/rocprofiler-systems: Delivered end-to-end Perfetto tracing enhancements for GPU-accelerated media paths, including VA-API, rocDecode, and JPEG decoding, with updated tests and CI to validate the new tracing domains. Established deeper observability to drive performance optimizations and faster diagnostics.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ROCm/rocprofiler-systems: Delivered end-to-end Perfetto tracing enhancements for GPU-accelerated media paths, including VA-API, rocDecode, and JPEG decoding, with updated tests and CI to validate the new tracing domains. Established deeper observability to drive performance optimizations and faster diagnostics.
January 2025
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for ROCm/rocprofiler-systems. Focused on expanding performance trace visibility for video decoding VCN activity and strengthening CI/test coverage. Delivered a feature to verify VCN activity tracing within Perfetto output and updated CI to exercise the videodecode example, with dependencies and configurations added to ensure VCN activity is captured and reported in performance traces.
1 Commits • 1 Features
Jan 1, 2025January 2025 monthly summary for ROCm/rocprofiler-systems. Focused on expanding performance trace visibility for video decoding VCN activity and strengthening CI/test coverage. Delivered a feature to verify VCN activity tracing within Perfetto output and updated CI to exercise the videodecode example, with dependencies and configurations added to ensure VCN activity is captured and reported in performance traces.
January 2025
December 2024
1 Commits • 1 Features
Dec 1, 2024Month: 2024-12 — ROCm/rocprofiler-systems. This month delivered the GPU VCN Activity Tracing feature integrated into Perfetto with ROCm-SMI metrics, including a configuration-based toggle to enable/disable tracing. Commit reference: 3fa37c991e2fa72335e8ca6c7a9bcc7b6fb19066. Business value: enhanced observability for GPU workloads, enabling detailed performance analysis and faster triage, which supports data-driven optimization across GPU-accelerated pipelines. No major bugs fixed in this period for this repository. Technologies/skills demonstrated: Perfetto integration, ROCm-SMI metrics collection, tracing configuration, and GPU performance analysis.
December 2024
1 Commits • 1 Features
Dec 1, 2024Month: 2024-12 — ROCm/rocprofiler-systems. This month delivered the GPU VCN Activity Tracing feature integrated into Perfetto with ROCm-SMI metrics, including a configuration-based toggle to enable/disable tracing. Commit reference: 3fa37c991e2fa72335e8ca6c7a9bcc7b6fb19066. Business value: enhanced observability for GPU workloads, enabling detailed performance analysis and faster triage, which supports data-driven optimization across GPU-accelerated pipelines. No major bugs fixed in this period for this repository. Technologies/skills demonstrated: Perfetto integration, ROCm-SMI metrics collection, tracing configuration, and GPU performance analysis.
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Quality Metrics
Correctness89.0%
Maintainability85.8%
Architecture86.2%
Performance79.6%
AI Usage22.0%
Skills & Technologies
Programming Languages
CC++CMakeMarkdownPythonShellmdrst
Technical Skills
API IntegrationAPI TracingBinary AnalysisBuild SystemBuild System ConfigurationBuild SystemsC++C++ DevelopmentCI/CDCMakeCode RefactoringData StructuresDebuggingDocumentationError Handling
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